Abstract Automated Program Repair (APR) has attracted significant attention from software
engineering research and practice communities in the last decade. Several teams have …

The problem of fixing errors in programs has attracted substantial interest over the years.
The key challenge for building an effective code fixing tool is to capture a wide range of …

We revisit the performance of template-based APR to build comprehensive knowledge
about the effectiveness of fix patterns, and to highlight the importance of complementary …

Context: Identifying potential vulnerable code is important to improve the security of our
software systems. However, the manual detection of software vulnerabilities requires expert …

Patching is a common activity in software development. It is generally performed on a source
code base to address bugs or add new functionalities. In this context, given the recurrence of …

Fix pattern-based patch generation is a promising direction in Automated Program Repair
(APR). Notably, it has been demonstrated to produce more acceptable and correct patches …

Several static analysis tools, such as Splint or FindBugs, have been proposed to the
software development community to help detect security vulnerabilities or bad programming …

We introduce the problem of learning distributed representations of edits. By combining a"
neural editor" with an" edit encoder", our models learn to represent the salient information of …

Large language models (LLMs), such as OpenAI's Codex, have demonstrated their potential
to generate code from natural language descriptions across a wide range of programming …

Fuzz testing is an active area of research with proposed improvements published at a rapid
pace. Such proposals are assessed empirically: Can they be shown to perform better than …